Senior Software Engineer

Complexio’s Foundational AI platform automates business processes by ingesting and understanding complete enterprise data—both structured and unstructured. Through proprietary models, knowledge graphs, and orchestration layers, Complexio maps human-computer interactions and autonomously executes complex workflows at scale. Established as a joint venture between Hafnia and Símbolo—with partners including Marfin Management, C Transport Maritime, BW Epic Kosan, and Trans Sea Transport—Complexio is redefining enterprise productivity through context-aware, privacy-first automation. The project focuses on enhancing business processes through the use of artificial intelligence and advanced technologies. It enables intelligent data handling and supports automated decision-making. Built with modern, high-performance solutions, it ensures efficiency, security, and scalability. Qualifications 5+ years of experience in software development . Strong experience with Python. Experience with vanilla JavaScript. Experience with relational databases (PostgreSQL) and KV stores (Redis). Experience in cloud platform (Azure / AWS / GCP). Experience with CI/CD pipelines and tools like GitHub Actions . Strong understanding of event-driven systems and distributed architectures. Experience with containerization tools ( Docker / Podman) and orchestration platform (Kubernetes). English min B2. Nice to have Experience with graph databases (Neo4j) and vector databases (Milvus). Experience with NLP libraries and frameworks (spaCy / Transformers). Proficiency in compiled languages (Rust, Go, Java, C#). Experience with machine learning concepts and the ability to work with NLP datasets. Experience in building web applications using modern frameworks (React, Vue.js) or desktop applications (Electron, Tauri). Join a pioneering joint venture at the intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field.